Impulse Response Functions for Nonlinear, Nonstationary, and Heterogeneous Systems, Estimated by Deconvolution and Demixing of Noisy Time Series

Impulse response functions (IRFs) are useful for characterizing systems’ dynamic behavior and gaining insight into their underlying processes, based on sensor data streams of their inputs and outputs. However, current IRF estimation methods typically require restrictive assumptions that are rarely m...

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Detalles Bibliográficos
Autor principal: Kirchner, James W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105515/
https://www.ncbi.nlm.nih.gov/pubmed/35590982
http://dx.doi.org/10.3390/s22093291

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105515/
https://www.ncbi.nlm.nih.gov/pubmed/35590982
http://dx.doi.org/10.3390/s22093291

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